dyliang's starred repositories
OpenSeq2Seq
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
BERT-pytorch
BERT 源码阅读
matplotlib-cheatsheet
Matplotlib 3.1 cheat sheet.
nlp-in-practice
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, pre-trained embeddings and more.
cs224n_learning_note
Stanford cs224n. 斯坦福2019最新cs224n学习资料 个人学习笔记和解读以及作业解答。 http://web.stanford.edu/class/cs224n/
CS224n-2019-solutions
Complete solutions for Stanford CS224n, winter, 2019
summarization-sing-pair-mix
Code, Models, and Data for the ACL 2019 paper "Scoring Sentence Singletons and Pairs for Abstractive Summarization"
Data-Science-Notes
数据科学的笔记以及资料搜集
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
textsum-gan
Tensorflow re-implementation of GAN for text summarization
NLP-Models-Tensorflow
Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0
awesome-nlp
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
BERT-pytorch
Google AI 2018 BERT pytorch implementation
awesome-transformer-nlp
A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
nlp-datasets
Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
R-transformer
Pytorch implementation of R-Transformer. Some parts of the code are adapted from the implementation of TCN and Transformer.
nlp-tutorial
Natural Language Processing Tutorial for Deep Learning Researchers
learnopencv
Learn OpenCV : C++ and Python Examples
tfjs-models
Pretrained models for TensorFlow.js
jsalt-2019-mt-tutorial
MT Tutorial for the JSALT 2019 Summer School
awd-lstm-lm
LSTM and QRNN Language Model Toolkit for PyTorch
tensorflow2-generative-models
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.